CN113421015B - Transformer substation planning method and device based on environmental factors, electronic equipment and medium - Google Patents

Transformer substation planning method and device based on environmental factors, electronic equipment and medium Download PDF

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CN113421015B
CN113421015B CN202110774259.1A CN202110774259A CN113421015B CN 113421015 B CN113421015 B CN 113421015B CN 202110774259 A CN202110774259 A CN 202110774259A CN 113421015 B CN113421015 B CN 113421015B
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赵洪南
汤晓雷
李浙华
杨春玲
方振锋
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Hubei Gimbol Environmental Technology Co ltd
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Abstract

The application provides a transformer substation planning method, a transformer substation planning device, electronic equipment and a medium based on environmental factors, wherein the method comprises the following steps: the method comprises the steps of determining position information of a transformer substation to be built, then creating a transformer substation mixed integer linear programming MILP model based on the position information of the transformer substation to be built, and then determining transformer information and power transmission line information of the transformer substation to be built based on the MILP model to build the transformer substation, wherein the MILP model comprises a target function and conditions of transformer substation building simulation constraints. The transformer substation planning method and device based on the environmental factors, the electronic equipment and the medium can realize planning and construction of the transformer substation on the basis of considering environmental pollution reaching standards.

Description

Transformer substation planning method and device based on environmental factors, electronic equipment and medium
Technical Field
The present application relates to the field of computer technologies, and in particular, to a transformer substation planning method and apparatus based on environmental factors, an electronic device, and a medium.
Background
Due to the limitation of power supply radius, 220kV and 110kV transformer substations which directly provide power guarantee for the public can only meet the power supply requirement in the peripheral several kilometers radius area at present, and the available power supply amount has certain limitation, so transformer substation projects are newly built in areas with dense residents and cultural and educational education so as to meet the requirement of the residents on power consumption.
However, due to various historical and practical reasons, the power transmission and transformation project is misunderstood by the masses for a long time, and the masses think that the power transmission and transformation project may affect the surrounding environment and the lives of residents, so that how to plan and construct the substation project also becomes a problem which needs to be solved urgently under the consideration of misunderstanding that the masses may affect the surrounding environment and the lives of residents.
Disclosure of Invention
The application aims to provide a transformer substation planning method, a transformer substation planning device, electronic equipment and a medium based on environmental factors, and aims to solve the technical problems.
The above object of the present application can be achieved by the following technical solutions:
in a first aspect, a transformer substation planning method based on environmental factors is provided, including:
determining position information of a transformer substation to be built;
establishing a substation mixed integer linear programming MILP model based on the position information of the substation to be built;
determining transformer information and transmission line information of a transformer substation to be built based on the MILP model so as to build the transformer substation;
the MILP model comprises an objective function and a condition of substation building simulation constraint, wherein the objective function is determined based on the substation power supply radius and load information; the condition of the transformer substation building simulation constraint is determined based on the position information of the transformer substation to be built;
the conditions for building simulation constraints by the transformer substation comprise: at least one of power frequency electromagnetic field influence radius constraint, power frequency electromagnetic field strength constraint, noise quantity constraint and noise influence radius constraint;
wherein, the transformer information of the transformer substation to be built includes: at least one of position information of the transformer and quantity information of the transformer to be built; the transmission line information includes: and (5) power transmission line layout information.
In one possible implementation, the objective function includes: s = a × S1+ B × S2;
wherein, S1=
Figure 907126DEST_PATH_IMAGE001
Wherein BifThe maximum load capacity of the ith transformer, n is the number of transformers, i =1,2, … …, n is the number of transformers;
S2=
Figure 945489DEST_PATH_IMAGE002
wherein fi is the ith transformerI =1,2, … …, n, n is the number of transformers, δ is the load density of the power supply area;
a and B are parameters;
wherein, the condition power frequency electromagnetic field influence radius constraint of power frequency electromagnetic field influence radius constraint includes:
R∈O(OMrmax), wherein R = (R1 ═ R2 ═ R3 … ═ Rn), OMThe method comprises the following steps of (1) representing the position of a preset point M, wherein Rmax is used for representing the maximum value of the power frequency electromagnetic field influence radius of the transformer substation;
wherein R1 and R2 … Rn are respectively used for representing the power frequency electromagnetic field influence area of the transformer; rn = O (On, Rn), wherein On is used for representing the position information of the nth transformer, and Rn is used for representing the influence radius of the power frequency electromagnetic field corresponding to the nth transformer;
wherein, the condition of power frequency electromagnetic field intensity constraint includes: EN < EZ;
wherein EN = n En1+
Figure 548509DEST_PATH_IMAGE003
Wherein EN is the power frequency electromagnetic field intensity of the transformer substation, EZ is the power frequency electromagnetic field intensity threshold value of the transformer substation, n is the number of transformers, En1Is the power frequency electromagnetic field intensity of the transformer,
Figure 785455DEST_PATH_IMAGE004
j =1,2, … …, m is the power frequency electromagnetic field strength of the jth power transmission line, m is the number of the power transmission lines,
Figure 448517DEST_PATH_IMAGE005
the power frequency electromagnetic field strength of the power transmission line is a unit length;
wherein the noise amount constraint conditions include: NN (neural network)<NZ, wherein NN =
Figure 705668DEST_PATH_IMAGE006
Wherein NN is the noise intensity of the transformer substation, NZ is the noise intensity threshold of the transformer substation, n is the number of transformers,
Figure 909116DEST_PATH_IMAGE007
is the average noise of the transformer, i =1,2, … …, n;
wherein, the noise influences the conditions of the radius constraint, including: rmax <RY,Rmax=max(R1,R2,…Rn) Where Rn is the noise radius of the nth transformer, RYIs a threshold for noise affecting the radius.
In another possible implementation manner, the method further includes:
acquiring the map information of the surrounding environment of the transformer substation to be built;
determining a maximum power frequency electric field, a maximum power frequency magnetic field and a maximum noise respectively corresponding to each residential area based on the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built, wherein the layout of the transformer substation to be built is drawn based on the transformer information and the transmission line information of the transformer substation to be built;
and adjusting the layout of the transformer substation to be built based on the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise of the residential area.
In another possible implementation manner, the determining, based on the map information of the surrounding environment of the substation to be built and the layout of the substation to be built, the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise respectively corresponding to each residential area includes:
extracting features of the map of the surrounding environment of the transformer substation to obtain first feature information, wherein the first feature information is used for representing topographic information, resident concentration information and building information which respectively correspond to each position around the transformer substation to be built;
performing feature extraction on the layout drawing of the transformer substation to be built to obtain second feature information, wherein the second feature information is used for representing the equipment type, the setting position information and the line layout information corresponding to each equipment in the transformer substation to be built;
performing feature fusion processing on the first feature information and the second feature information according to position information to obtain feature information after fusion processing;
and determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area through a network model based on the feature information after the fusion processing.
In another possible implementation, the network model includes: a first header network, a second header network, and a third header network, wherein,
the method for determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area through a network model based on the feature information after the fusion processing comprises the following steps:
determining the maximum power frequency electric field corresponding to each residential area through a first head network based on the feature information after the fusion processing;
determining the maximum power frequency magnetic field corresponding to each residential area through a second head network based on the feature information after the fusion processing;
and determining the maximum noise corresponding to each residential area through a third head network based on the feature information after the fusion processing.
In another possible implementation manner, the determining, based on the feature information after the fusion processing and through a first head network, a maximum power frequency electric field corresponding to any one residential area includes:
predicting the predicted power frequency electric field intensity attenuation corresponding to each sheltered area between any one residential area and the transformer substation to be built respectively based on the feature information after fusion processing;
and determining the maximum power frequency electric field intensity corresponding to any residential area based on the predicted power frequency electric field intensity attenuation.
In another possible implementation manner, the determining, based on the feature information after the fusion processing, a maximum power frequency electric field, a maximum power frequency magnetic field, and a maximum noise respectively corresponding to each residential area includes:
determining relative position information of the transformer substation of each residential area based on the feature information after the fusion processing, wherein the relative position information comprises distance information and direction information;
determining topographic information and building information between each residential area and the transformer substation based on the relative position information of each residential area and the transformer substation;
respectively determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area through topographic information and building information between each residential area and the transformer substation and the following formulas;
wherein, the formula 1 is E1max = E1-E
Figure 203831DEST_PATH_IMAGE008
Formula 2 is E2max = E2-E
Figure 772216DEST_PATH_IMAGE009
Formula 3 is E3max = E3-E
Figure 847488DEST_PATH_IMAGE010
Wherein E1max is the maximum power frequency electric field intensity corresponding to any residential area, E1 is the power frequency electric field intensity corresponding to the transformer substation to be built,
Figure 526731DEST_PATH_IMAGE011
the attenuation coefficient of the power frequency electric field intensity corresponding to the kth shielding area;
Figure 738270DEST_PATH_IMAGE012
the occlusion distance corresponding to the k-th occlusion region;
wherein E2max is the maximum power frequency magnetic field intensity corresponding to any residential area, E2 is the power frequency magnetic field intensity corresponding to the transformer substation to be built,
Figure 480485DEST_PATH_IMAGE013
is the k-thThe power frequency magnetic field intensity attenuation coefficient corresponding to each shielding area;
wherein E3max is the maximum noise intensity corresponding to any residential area, E3 is the noise intensity corresponding to the transformer substation to be built,
Figure 715157DEST_PATH_IMAGE014
and the attenuation coefficient is the noise intensity attenuation coefficient corresponding to the k-th occlusion region.
In a second aspect, a transformer substation planning apparatus based on environmental factors is provided, including:
the first determining module is used for determining the position information of the transformer substation to be built;
the building module is used for building a mixed integer linear programming MILP model of the transformer substation based on the position information of the transformer substation to be built;
the second determination module is used for determining transformer information and transmission line information of the transformer substation to be built based on the MILP model so as to build the transformer substation;
the MILP model comprises an objective function and a condition of substation building simulation constraint, wherein the objective function is determined based on the substation power supply radius and load information; the condition of the substation building simulation constraint is determined based on the position information of the substation to be built;
the conditions for building simulation constraints by the transformer substation comprise: at least one of power frequency electromagnetic field influence radius constraint, power frequency electromagnetic field strength constraint, noise amount constraint and noise influence radius constraint;
wherein, the transformer information of the transformer substation to be built includes: at least one of position information of the transformer and quantity information of the transformer to be built; the transmission line information includes: and (5) power transmission line layout information.
In one possible implementation, the objective function includes: s = a × S1+ B × S2;
wherein, S1=
Figure 260408DEST_PATH_IMAGE001
Wherein, in the step (A),Bifthe maximum load capacity of the ith transformer, n is the number of transformers, i =1,2, … …, n is the number of transformers;
S2=
Figure 795295DEST_PATH_IMAGE002
wherein fi is the load capacity of the ith transformer, i =1,2, … …, n, n is the number of transformers, and δ is the load density of the power supply area;
a and B are parameters;
wherein, the condition power frequency electromagnetic field influence radius constraint of power frequency electromagnetic field influence radius constraint includes:
R∈O(OMrmax), wherein R = (R1 ═ R2 ═ R3 … ═ Rn);
wherein R1 and R2 … Rn are respectively used for representing the power frequency electromagnetic field influence area of the transformer; rn = O (On, Rn), wherein On is used for representing the position information of the nth transformer, and Rn is used for representing the influence radius of the power frequency electromagnetic field corresponding to the nth transformer;
wherein, the condition of power frequency electromagnetic field strength constraint includes: EN < EZ;
wherein EN = n En1+
Figure 767799DEST_PATH_IMAGE003
Wherein EN is the power frequency electromagnetic field intensity of the transformer substation, EZ is the power frequency electromagnetic field intensity threshold value of the transformer substation, n is the number of transformers, En1Is the power frequency electromagnetic field intensity of the transformer,
Figure 755346DEST_PATH_IMAGE004
j =1,2, … …, m, m is the number of the power frequency electromagnetic field strength of the jth power transmission line,
Figure 796900DEST_PATH_IMAGE005
the power frequency electromagnetic field strength of the power transmission line is a unit length;
wherein the noise amount constraint conditions include: NN (neural network)<NZ, NN=
Figure 717451DEST_PATH_IMAGE006
Wherein NN is the noise intensity of the transformer substation, NZ is the noise intensity threshold of the transformer substation, n is the number of transformers,
Figure 860857DEST_PATH_IMAGE007
is the average noise of the transformer, i =1,2, … …, n;
wherein, the noise influences the conditions of the radius constraint, including: rmax <RY,Rmax=max(R1,R2,…Rn) Where Rn is the noise radius of the nth transformer, RYIs a threshold for noise affecting the radius.
In another possible implementation manner, the apparatus further includes: an acquisition module, a third determination module, and an adjustment module, wherein,
the acquisition module is used for acquiring the map information of the surrounding environment of the transformer substation to be built;
the third determining module is configured to determine, based on the surrounding environment map information of the substation to be built and a layout of the substation to be built, a maximum power frequency electric field, a maximum power frequency magnetic field, and a maximum noise that correspond to each residential area, respectively, where the layout of the substation to be built is drawn based on transformer information and transmission line information of the substation to be built;
and the adjusting module is used for adjusting the layout of the transformer substation to be built based on the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise of the residential area.
In another possible implementation manner, the third determining module is specifically configured to, when determining the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise respectively corresponding to each residential area based on the surrounding environment map information of the transformer substation to be built and the layout diagram of the transformer substation to be built:
extracting features of the map information of the surrounding environment of the transformer substation to be built to obtain first feature information, wherein the first feature information is used for representing topographic information, resident concentration information and building information which respectively correspond to each position around the transformer substation to be built;
performing feature extraction on the layout drawing of the transformer substation to be built to obtain second feature information, wherein the second feature information is used for representing equipment types, setting position information and circuit layout information corresponding to each equipment in the transformer substation to be built;
performing feature fusion processing on the first feature information and the second feature information according to position information to obtain feature information after fusion processing;
and determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area through a network model based on the feature information after the fusion processing.
In another possible implementation, the network model includes: a first header network, a second header network, and a third header network, wherein,
the third determining module is specifically configured to, when determining, based on the feature information after the fusion processing and through a network model, a maximum power frequency electric field, a maximum power frequency magnetic field, and a maximum noise respectively corresponding to each residential area:
determining the maximum power frequency electric field corresponding to each residential area through a first head network based on the feature information after the fusion processing;
determining the maximum power frequency magnetic field corresponding to each residential area through a second head network based on the feature information after the fusion processing;
and determining the maximum noise corresponding to each residential area through a third head network based on the feature information after the fusion processing.
In a possible implementation manner, when determining, based on the feature information after the fusion processing and through the first head network, the maximum power frequency electric field corresponding to any residential area, the third determining module is specifically configured to:
predicting power frequency electric field intensity attenuation corresponding to each sheltered area between any one residential area and the transformer substation to be built respectively based on the feature information after fusion processing;
and determining the maximum power frequency electric field intensity corresponding to any residential area based on the predicted power frequency electric field intensity attenuation.
In another possible implementation manner, when determining, based on the feature information after the fusion processing, the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise respectively corresponding to each residential area, the third determining module is specifically configured to:
determining relative position information of each residential area and the transformer substation respectively based on the feature information after the fusion processing, wherein the relative position information comprises distance information and direction information;
determining topographic information and building information between each residential area and the transformer substation based on the relative position information of each residential area and the transformer substation;
respectively determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area through topographic information and building information between each residential area and the transformer substation and the following formulas;
wherein, the formula 1 is E1max = E1-E
Figure 804542DEST_PATH_IMAGE008
Formula 2 is E2max = E2-E
Figure 426016DEST_PATH_IMAGE009
Formula 3 is E3max = E3-E
Figure 201074DEST_PATH_IMAGE010
Wherein E1max is the maximum power frequency electric field intensity corresponding to any residential area, E1 is the power frequency electric field intensity corresponding to the transformer substation to be built,
Figure 252731DEST_PATH_IMAGE011
power frequency electric field corresponding to the kth shielding regionAn intensity attenuation coefficient;
Figure 214871DEST_PATH_IMAGE012
the occlusion distance corresponding to the kth occlusion region;
wherein E2max is the maximum power frequency magnetic field intensity corresponding to any residential area, E2 is the power frequency magnetic field intensity corresponding to the transformer substation to be built,
Figure 171195DEST_PATH_IMAGE013
the attenuation coefficient of the power frequency magnetic field intensity corresponding to the kth shielding area;
wherein E3max is the maximum noise intensity corresponding to any residential area, E3 is the noise intensity corresponding to the transformer substation to be built,
Figure 800759DEST_PATH_IMAGE014
and the attenuation coefficient of the noise intensity corresponding to the k-th occlusion area.
In a third aspect, an electronic device is provided, which includes:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: and executing the operation corresponding to the transformer substation planning method based on the environmental factor shown in any one of the possible implementation manners of the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, in which at least one instruction, at least one program, a set of codes, or a set of instructions is stored, and the at least one instruction, the at least one program, the set of codes, or the set of instructions is loaded and executed by a processor to implement a method for substation planning based on environmental factors as shown in any one of the possible implementations of the first aspect.
Through the technical scheme, the method at least has the following technical effects:
the application provides a transformer substation planning method, a device, electronic equipment and a medium based on environmental factors, compared with the related technology, the method comprises the steps of establishing a transformer substation MILP model based on the position information of the transformer substation to be built after the position information of the transformer substation to be built is determined, determining transformer information and transmission line information of the transformer substation to be built based on the model when at least one of power frequency electromagnetic field influence radius constraint, power frequency electromagnetic field strength constraint, noise amount constraint and noise influence radius constraint is met, enabling the transformer substation to be built to meet power supply radius and load requirements, planning the transformer substation under the condition that the power supply radius and load requirements are met when the transformer substation is planned and built, and enabling the planned transformer substation to meet the power frequency electromagnetic field influence radius constraint, the power frequency electromagnetic field strength constraint, the noise amount constraint, The noise affects at least one of the radius constraints, so that the planning and construction of the substation project can be realized while considering the surrounding environment and the life of residents.
Drawings
Fig. 1 is a schematic flow chart of a transformer substation planning method based on environmental factors according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a transformer substation planning device based on environmental factors according to an embodiment of the present application;
fig. 3 is a schematic device structure diagram of an electronic apparatus according to an embodiment of the present disclosure.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
The present embodiment is only for explaining the present application, and it is not limited to the present application, and those skilled in the art can make modifications of the present embodiment without inventive contribution as needed after reading the present specification, but all of them are protected by patent law within the scope of the claims of the present application.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
The embodiments of the present application will be described in further detail with reference to the drawings attached hereto.
As shown in fig. 1, the transformer substation planning method based on the environmental factors may be executed by an electronic device, and the electronic device may be a server or a terminal device, where the server may be an independent physical server, a server cluster or a distributed system formed by multiple physical servers, or a cloud server providing cloud computing services. The terminal device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, and the like, but is not limited thereto, and the terminal device and the server may be directly or indirectly connected through wired or wireless communication, and the embodiment of the present application is not limited thereto, and the method includes:
and S101, determining the position information of the transformer substation to be built.
For the embodiment of the application, the position information of the transformer substation to be built can be coordinates of the transformer substation to be modified, and can also be longitude and latitude information of the transformer substation to be built. In the embodiment of the application, the position information of the transformer substation to be built can be input by a user or can be obtained locally. The embodiments of the present application are not limited thereto.
And S102, establishing a Mixed Integer Linear Programming (MILP) model of the transformer substation based on the position information of the transformer substation to be built.
The MILP model comprises an objective function and a transformer substation building simulation constraint condition, wherein the objective function is determined based on the transformer substation power supply radius and load information; that is, the substation to be built needs to meet the requirements of the preset power supply radius of the substation and the load information.
Further, the condition of the transformer substation building simulation constraint is determined based on the position information of the transformer substation to be built; the conditions for building simulation constraints of the transformer substation comprise: at least one of power frequency electromagnetic field influence radius constraint, power frequency electromagnetic field strength constraint, noise amount constraint and noise influence radius constraint. That is, the substation to be built also needs to satisfy the conditions of the simulation constraints for building the substation. Specifically, on the premise that the substation to be built meets the preset substation power supply radius and load information requirements, at least one of the condition of power frequency electromagnetic field influence radius constraint, the condition of power frequency electromagnetic field strength constraint, the condition of noise quantity constraint and the condition of noise influence radius constraint is required to be met.
And S103, determining transformer information and transmission line information of the transformer substation to be built based on the MILP model so as to build the transformer substation.
Wherein, the transformer information of the transformer substation to be built includes: at least one of position information of the transformer and quantity information of the transformer to be built; the transmission line information includes: and (5) power transmission line layout information. In the embodiment of the application, the transformer information and the power transmission line information of the transformer substation to be built are determined based on the MILP model, that is, the determined transformer information and the determined power transmission line information of the transformer substation to be built meet the requirements of the preset power supply radius and load information of the transformer substation, and the constraint conditions of the transformer substation can also be met at the same time.
Further, in this embodiment of the application, the power transmission line layout information may specifically include: the number of transmission lines, and the length of each transmission line.
The embodiment of the application provides a transformer substation planning method based on environmental factors, compared with the related technology, the embodiment of the application establishes a transformer substation MILP model based on the position information of the transformer substation to be built after the position information of the transformer substation to be built is determined, and determines the transformer information and the transmission line information of the transformer substation to be built based on the model when at least one of the power frequency electromagnetic field influence radius constraint, the power frequency electromagnetic field strength constraint, the noise quantity constraint and the noise influence radius constraint is met, so that the transformer substation to be built can meet the power supply radius and the load requirement, namely the transformer substation can be planned under the condition of meeting the power supply radius and the load requirement when the transformer substation is planned and built, and the planned transformer substation can meet at least one of the power frequency electromagnetic field influence radius constraint, the power frequency electromagnetic field strength constraint, the noise quantity constraint and the noise influence radius constraint, therefore, planning and construction of the transformer substation project can be realized while the surrounding environment and the lives of residents are considered.
Further, the manner of determining the location information of the substation to be built in step S101 may be implemented based on a manner disclosed in the related art, or may be implemented based on a manner described in the embodiment of the present application, which is not limited in the embodiment of the present application.
Further, in step S102, a method of creating a mixed integer linear programming MILP of the substation, that is, determining an objective function and a condition for building simulation constraints of the substation.
Specifically, the objective function includes: s = a × S1+ B × S2; wherein, S1=
Figure 754809DEST_PATH_IMAGE001
Wherein, BifI =1,2, … …, n is the maximum load capacity of the ith transformer, and n is the number of transformers; s2=
Figure 732473DEST_PATH_IMAGE002
Where fi is the load of the ith transformer, i =1,2, … …, n, n is the number of transformers, and δ is the load density of the power supply region.
Wherein A and B are parameters. In the embodiment of the present application, the values of a and B may be determined based on the substation power supply radius and the importance degree of the load information, for example, a may be 1, and B may be 15.
Further, the conditions for influencing the radius constraint by the power frequency electromagnetic field comprise:
R∈O(OMrmax), wherein R = (R1 ═ R2 ═ R3 … ═ Rn), OMThe method comprises the following steps of (1) representing the position of a preset point M, wherein Rmax is used for representing the maximum value of the power frequency electromagnetic field influence radius of the transformer substation; (ii) a
Wherein R1 and R2 … Rn are respectively used for representing the power frequency electromagnetic field influence area of the transformer; rn = O (On, Rn), wherein On is used for representing the position information of the nth transformer, and Rn is used for representing the influence radius of the power frequency electromagnetic field corresponding to the nth transformer; in the embodiment of the application, the maximum value of the power frequency electromagnetic field influence radius meets the power frequency electromagnetic field influence radius standard specified by the country, the maximum value of the power frequency electromagnetic field influence radius can be determined according to the position information constructed by the transformer substation, the maximum value of the power frequency electromagnetic field influence radius can also be determined by combining the power frequency electromagnetic field influence radius and the position information, and the limitation is not limited in the embodiment of the application.
Wherein, the condition of power frequency electromagnetic field intensity constraint includes: EN < EZ;
wherein EN = n En1+
Figure 430171DEST_PATH_IMAGE003
Wherein EN is the power frequency electromagnetic field intensity of the transformer substation, EZ is the power frequency electromagnetic field intensity threshold value of the transformer substation, n is the number of transformers, En1Is the power frequency electromagnetic field intensity of the transformer,
Figure 179821DEST_PATH_IMAGE004
j =1,2, … …, m, m is the number of the power frequency electromagnetic field strength of the jth power transmission line,
Figure 570351DEST_PATH_IMAGE005
the power frequency electromagnetic field strength of the power transmission line is a unit length. In the embodiment of the present application, the power frequency electromagnetic field strength threshold value of the substation may be determined according to a power frequency electromagnetic field strength standard stipulated by the country, may also be determined according to position information established by the substation, may also be determined by combining the two, and is not limited in the embodiment of the present application.
Wherein the noise amount constraint conditions include: NN (neural network)<NZ, wherein NN =
Figure 772662DEST_PATH_IMAGE006
Wherein NN is the average noise of the transformers, NZ is the noise intensity threshold of the transformer substation, n is the number of the transformers,
Figure 274051DEST_PATH_IMAGE007
is a noise of one of the transformers,
Figure 677875DEST_PATH_IMAGE015
. In the embodiment of the present application, the noise intensity threshold of the substation may be determined according to a noise standard specified by a country, may also be determined according to location information established by the substation, and may also be determined by combining the two, which is not limited in the embodiment of the present application.
Wherein, the noise affects the condition of the radius constraint and comprises: rmax=max(R1,R2,…Rk) Where Rn is the noise radius of the nth transformer, RYIs a threshold for noise affecting the radius. In the embodiment of the present application, the maximum value of the noise radius may be determined according to a noise standard specified by a country, may also be determined according to location information established by a substation, and may also be determined by combining the two, which is not limited in the embodiment of the present application.
Further, although the power frequency electromagnetic field strength, the power frequency electromagnetic field influence radius, the noise radius, and the noise influence radius are used as constraint conditions in the above embodiments, water pollution, noise pollution during construction, and the like may also be used as constraint conditions, and the constraint conditions in the embodiments of the present application are not limited to the embodiments of the present application.
Further, after the transformer substation to be built is planned based on the above embodiment, the environmental impact that may be brought when the transformer substation to be built is planned according to the planning can be further predicted, so as to perform a part of planning adjustment on the transformer substation to be built.
Based on this, the method may further include: step Sa (not shown), step Sb (not shown), and step Sc (not shown), in the present embodiment, step Sa, step Sb, and step Sc may be performed after step S103, wherein,
and step Sa, obtaining surrounding environment map information of the transformer substation to be built.
For the embodiment of the application, in the step Sa, the ambient environment map information of the transformer substation to be built may be obtained based on the ambient environment map information of the transformer substation input by the user, or the ambient environment map information of the transformer substation to be built may be obtained from a local storage, or the ambient environment map information of the transformer substation to be built may be searched from the internet, which is not limited in the embodiment of the application.
And Sb, determining a maximum power frequency electric field, a maximum power frequency magnetic field and maximum noise which respectively correspond to each residential area based on the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built.
The electronic equipment can determine each residential area around the transformer substation based on the surrounding environment map information of the transformer substation to be built.
The layout of the transformer substation to be built is drawn based on transformer information and transmission line information of the transformer substation to be built.
Further, after each residential area around the transformer substation is determined based on the surrounding environment map information of the transformer substation to be built, the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise which respectively correspond to each residential area can be determined by combining the layout of the transformer substation to be built. In the embodiment of the application, the power frequency electric field refers to an electric field generated by charges which sinusoidally change along with time at 50Hz or 60 Hz; the power frequency magnetic field refers to a magnetic field generated by an alternating current power transmission and transformation facility.
Specifically, in step Sb, based on the surrounding environment map information of the substation to be built and the layout of the substation to be built, the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise that correspond to each residential area respectively are determined, which may specifically include: step Sb1 (not shown), wherein,
and step Sb1, determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area through a network model according to the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built.
For the embodiment of the application, the map information of the surrounding environment of the transformer substation to be built can be in an image format, and can also be in other formats, such as a text format. In the embodiment of the present application, the format of the map of the environment around the substation is not limited.
Further, after the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built are obtained, the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise which respectively correspond to each residential area are predicted according to the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built through the trained network model. Specifically, feature extraction is respectively carried out on the map information of the surrounding environment of the transformer substation to be built and the layout of the transformer substation to be built through a trained network model, and the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise which respectively correspond to each residential area are predicted based on the extracted features. In the embodiment of the application, when feature extraction is performed on the map information of the surrounding environment of the transformer substation to be built and the layout of the transformer substation to be built, feature information can be performed through other network models. Further, after feature extraction is performed on the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built, fusion processing can be performed on the corresponding features. Specifically, feature fusion processing can be performed on feature information corresponding to the surrounding environment map information of the substation to be built and feature information of a layout of the substation to be built according to the position information of the substation.
Specifically, the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built are determined through a network model, and the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise which correspond to each residential area respectively are determined, and the method specifically comprises the following steps of: step Sb11 (not shown), step Sb12 (not shown), step Sb13 (not shown), and step Sb14 (not shown), wherein,
and step Sb11, performing feature extraction on the surrounding environment map of the transformer substation to be built to obtain first feature information.
The first characteristic information is used for representing topographic information, resident concentration information and building information which correspond to all positions around the transformer substation to be built respectively.
And step Sb12, performing feature extraction on the layout of the transformer substation to be built to obtain second feature information.
The second characteristic information is used for representing the equipment type, the setting position information and the line layout information corresponding to each equipment in the transformer substation to be built.
For the embodiment of the present application, the step Sb12 may be performed before the step Sb11, or after the step Sb11, or may be performed simultaneously with the step Sb11, which is not limited in the embodiment of the present application.
Specifically, in the embodiment of the present application, the network model may include: and the system comprises a backbone network, wherein the environmental information around the transformer substation and the layout of the transformer substation to be built can be respectively extracted through the backbone network to obtain first characteristic information and second characteristic information.
And step Sb13, performing feature fusion processing on the first feature information and the second feature information according to the position information to obtain feature information after the fusion processing.
And step Sb14, determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area based on the feature information after the fusion processing.
Specifically, the network model may further include: a first header network, a second header network, and a third header network, wherein step Sb14 may specifically include: step Sb141 (not shown), step Sb142 (not shown), and step Sb143 (not shown), wherein,
and step Sb141, determining the maximum power frequency electric fields respectively corresponding to the residential areas through the first head network based on the feature information after the fusion processing.
Specifically, based on the feature information after the fusion processing, and determining the maximum power frequency electric field corresponding to any residential area through the first head network, the method specifically may include: predicting power frequency electric field intensity attenuation corresponding to each sheltered area between any residential area and the transformer substation to be built respectively based on the feature information after fusion processing; and determining the maximum power frequency electric field intensity corresponding to any residential area based on the predicted power frequency electric field intensity attenuation.
Specifically, based on the feature information after the fusion processing, the power frequency electric field intensity attenuation corresponding to each sheltered area between any one residential area and the transformer substation to be built is predicted; based on the power frequency electric field intensity attenuation of prediction, confirm the biggest power frequency electric field intensity that any residential area corresponds, specifically can include: determining the predicted power frequency electric field intensity which is not attenuated based on the feature information after the fusion processing; predicting each shielding area passing between the transformer substation to be built and any one residential area, determining the shielding attribute corresponding to each shielding area, and determining the maximum power frequency electric field intensity corresponding to any one residential area based on the shielding attribute corresponding to each shielding area and the predicted power frequency electric field intensity which does not undergo attenuation. In this embodiment of the present application, the occlusion attributes respectively corresponding to any region may include: at least one item of type information, occlusion region information, and occlusion height information of the occlusion object.
It is worth mentioning that the predicted power frequency electric field intensity attenuation corresponding to each sheltered area between each residential area and the transformer substation to be built can be obtained according to the above method, so as to finally obtain the maximum power frequency electric field intensity corresponding to each residential area around.
And step Sb142, determining the maximum power frequency magnetic field corresponding to each residential area through the second head network based on the feature information after the fusion processing.
Specifically, based on the feature information after the fusion processing, determining the maximum power frequency magnetic field corresponding to any residential area through the second head network may specifically include: predicting power frequency magnetic field intensity attenuation corresponding to each sheltered area between any residential area and the transformer substation to be built respectively based on the feature information after fusion processing; and determining the maximum power frequency magnetic field intensity corresponding to any residential area based on the predicted power frequency magnetic field intensity attenuation.
Specifically, based on the feature information after the fusion processing, the power frequency magnetic field intensity attenuation corresponding to each sheltered area between any one residential area and the transformer substation to be built is predicted; based on the predicted power frequency magnetic field intensity attenuation, the maximum power frequency magnetic field intensity corresponding to any residential area is determined, and the method specifically comprises the following steps: determining the power frequency magnetic field strength before attenuation based on the features after fusion processing, predicting each shielding area passing between the transformer substation to be built and any one residential area based on the features after fusion processing, determining the shielding attribute corresponding to each shielding area, and determining the maximum power frequency magnetic field strength corresponding to any one residential area based on the shielding attribute corresponding to each shielding area and the power frequency magnetic field strength before non-shielding. In this embodiment of the present application, the occlusion attributes respectively corresponding to any region may include: at least one item of type information, occlusion region information, and occlusion height information of the occlusion object.
It is worth mentioning that the predicted power frequency magnetic field intensity attenuation corresponding to each shielded area between each residential area and the transformer substation to be built can be obtained according to the above method, so as to finally obtain the maximum power frequency magnetic field intensity corresponding to each residential area around.
And step Sb143, determining the maximum noise corresponding to each residential area through the third head network based on the feature information after the fusion processing.
Specifically, determining the maximum noise corresponding to any residential area through the third head network based on the feature information after the fusion processing may specifically include: predicting the predicted noise intensity attenuation corresponding to each sheltered area between any residential area and the transformer substation to be built respectively based on the feature information after fusion processing; based on the predicted noise intensity attenuation, the maximum noise intensity corresponding to any one of the residential areas is determined.
Specifically, the determining, based on the feature information after the fusion processing and through the third head network, the maximum noise corresponding to any residential area may specifically include: predicting the corresponding predicted noise intensity attenuation of each shielding area between any residential area and the transformer substation to be built on the basis of the feature information after fusion processing; determining the maximum noise intensity corresponding to any residential area based on the predicted noise intensity attenuation, which may specifically include: determining noise information before attenuation based on the feature information after fusion processing, predicting each shielding region passing between the transformer substation to be built and any one residential area based on the feature information after fusion processing, determining shielding attributes corresponding to each shielding region, determining noise attenuation intensity corresponding to each shielding region based on the shielding attributes corresponding to each shielding region, and determining maximum noise corresponding to any residential area based on the noise attenuation intensity corresponding to each shielding region and the noise information before attenuation. In this embodiment of the present application, the occlusion attributes respectively corresponding to any region may include: at least one item of type information, occlusion region information, and occlusion height information of the occlusion object. For example, the type information of the blocking object may be a building, a tree area, etc., the blocking area information may specifically be a size of the blocking area, the blocking height information may specifically be height information of the blocking object, and may be maximum height information of the blocking object, average height information of the blocking object, and height information corresponding to the blocking object, respectively.
It is worth to be noted that the maximum noise corresponding to each shielded area between each residential area and the substation to be built can be obtained according to the above method, so as to finally obtain the maximum noise corresponding to each surrounding residential area.
For the embodiments of the present application, the steps Sb141, Sb142 and Sb143 are defined and the above-mentioned execution sequence is defined, and any possible execution sequence is within the protection scope of the embodiments of the present application.
And step Sc, adjusting a layout of the transformer substation to be built based on the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise of the residential area.
For the embodiment of the present application, after the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise of each residential area are determined based on the above embodiments, if the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise of each residential area all exceed the national standard data, or partially exceed the national standard data, the layout of the transformer substation to be built may be adjusted, so that the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise corresponding to each residential area respectively all satisfy the national standard data.
Further, in addition to adjusting the layout of the transformer substation to be built so that the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise corresponding to each residential area respectively satisfy the standard data specified by the country, other measures may be taken, for example, noise reduction devices may be installed around the transformer to reduce the noise generated by the transformer substation.
In the embodiments described above, the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise respectively corresponding to each residential area are determined by means of a network model, and in the embodiments described below, the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise respectively corresponding to each residential area may also be determined by using a specific formula.
Specifically, the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise which respectively correspond to each residential area are determined based on the feature information after the fusion processing, and the method specifically includes the following steps: determining relative position information of transformer substations in each residential area based on the feature information subjected to fusion processing; determining topographic information and building information between each residential area and each transformer substation based on relative position information of each residential area and each transformer substation; and respectively determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area through topographic information and building information between each residential area and the transformer substation and the following formulas.
The relative position information includes distance information and direction information.
Wherein, formula 1 is E1max = E1-E
Figure 708148DEST_PATH_IMAGE008
Wherein E1max is the maximum power frequency electric field intensity corresponding to any residential area, E1 is the power frequency electric field intensity corresponding to the transformer substation to be built,
Figure 663334DEST_PATH_IMAGE011
the attenuation coefficient of the power frequency electric field intensity corresponding to the kth shielding area;
Figure 968414DEST_PATH_IMAGE012
the occlusion distance corresponding to the k-th occlusion region; in the embodiment of the present application, the shielding distance may be a linear distance in the corresponding direction.
For example, E1 is 1100V/m, the shielding region between the substation to be built and the residential area 1 includes shielding region 1 and shielding region 2, the intensity attenuation coefficients corresponding to the shielding regions are 0.0005 and 0.0010, respectively, and the shielding distances corresponding to the shielding regions are 500 meters and 200 meters, then the maximum power frequency electric field strength E1max = 1100-.
Wherein, formula 2 is E2max = E2-E
Figure 692656DEST_PATH_IMAGE009
(ii) a Wherein E2max is the maximum power frequency magnetic field intensity corresponding to any residential area, E2 is the power frequency magnetic field intensity corresponding to the transformer substation to be built,
Figure 749955DEST_PATH_IMAGE013
the power frequency magnetic field intensity attenuation coefficient corresponding to the kth shielding area;
for example, E2 is 10A/m, the shielding region between the substation to be built and the residential area 1 includes shielding region 1 and shielding region 2, the intensity attenuation coefficients corresponding to the shielding regions are 0.0001 and 0.0010, respectively, and the shielding distances corresponding to the shielding regions are 500 meters and 200 meters, so that the maximum power frequency electric field strength E1max =10-10 (500 × 0.0001+200 × 0.0010) =7.5A/m corresponding to the residential area 1.
Wherein, formula 3 is E3max = E3-E
Figure 192438DEST_PATH_IMAGE010
Wherein E3max is the maximum noise intensity corresponding to any residential area, E3 is the noise intensity corresponding to the substation to be built,
Figure 363525DEST_PATH_IMAGE014
and the attenuation coefficient is the noise intensity attenuation coefficient corresponding to the k-th occlusion region.
For example, E3 is 60 db, the shielding region between the substation to be built and the residential area 1 includes a shielding region 1 and a shielding region 2, the intensity attenuation coefficients corresponding to the shielding region 1 and the shielding region 2 are 0.0003 and 0.015, respectively, and the shielding distances corresponding to the shielding regions are 500 m and 200 m, so that the maximum power frequency electric field strength E1max =60-60 (500 × 0.0003+200 × 0.015) =33 db corresponding to the residential area 1.
Further, in the embodiment of the present application, distance attenuation may be considered in addition to the occlusion area, and the distance attenuation mode is not described in detail in the embodiment of the present application. In the embodiment of the application, the maximum power frequency electric field intensity, the maximum power frequency magnetic field intensity, the maximum noise intensity and the like corresponding to each residential area due to the transformer substation to be built can be obtained through the method, and then the corresponding strategy can be determined according to the maximum power frequency electric field intensity, the maximum power frequency magnetic field intensity, the maximum noise intensity and the like, so that the influence on the residential areas is reduced.
Although the above embodiments are described in terms of power-frequency electric field intensity, power-frequency magnetic field intensity, and noise intensity, the embodiments are not limited to monitoring of these environmental pollution parameters, and may also include water pollution parameters and the like.
The embodiment introduces a transformer substation planning method based on environmental factors from the perspective of the method, and the following embodiment introduces a transformer substation planning device based on environmental factors, which is applicable to the embodiment of the method, and is specifically described in the following embodiment:
the embodiment of the present application provides a transformer substation planning device based on environmental factors, as shown in fig. 2, the environmental pollution monitoring device 20 of the substation may include: a first determination module 21, a creation module 22, and a second determination module 23, wherein,
the first determining module 21 is configured to determine location information of the substation to be built.
And the creating module 22 is used for creating a substation mixed integer linear programming MILP model based on the position information of the substation to be built.
And the second determining module 23 is configured to determine transformer information and transmission line information of the substation to be built based on the MILP model, so as to build the substation.
The MILP model comprises an objective function and a condition of substation construction simulation constraint, wherein the objective function is determined based on the substation power supply radius and load information; the method comprises the steps that the condition of simulation constraint of transformer substation building is determined based on position information of a transformer substation to be built;
the conditions for building the simulation constraints of the transformer substation comprise: at least one of power frequency electromagnetic field influence radius constraint, power frequency electromagnetic field strength constraint, noise amount constraint and noise influence radius constraint;
wherein, the transformer information of the transformer substation to be built includes: at least one of position information of the transformer and quantity information of the transformer to be built; the transmission line information includes: and (5) power transmission line layout information.
Specifically, the objective function includes: s = a × S1+ B × S2;
wherein, S1=
Figure 945203DEST_PATH_IMAGE001
Wherein BifI =1,2, … …, n is the maximum load capacity of the ith transformer, and n is the number of transformers;
S2=
Figure 848437DEST_PATH_IMAGE002
wherein fi is the load capacity of the ith transformer, i =1,2, … …, n, n is the number of transformers, and δ is the load density of the power supply area;
a and B are parameters;
wherein, the power frequency electromagnetic field influences the condition of radius constraint and includes:
R∈O(OMrmax), wherein R = (R1 ═ R2 ═ R3 … ═ Rn), OMThe method is used for representing the position of the transformer substation to be built, and Rmax is used for representing the maximum value of the power frequency electromagnetic field influence radius of the transformer substation;
wherein R1 and R2 … Rn are respectively used for representing the power frequency electromagnetic field influence area of the transformer; rn = O (On, Rn), wherein On is used for representing the position information of the nth transformer, and Rn is used for representing the influence radius of the power frequency electromagnetic field corresponding to the nth transformer;
wherein, the condition of power frequency electromagnetic field intensity constraint includes: EN < EZ;
wherein EN = n En1+
Figure 981479DEST_PATH_IMAGE003
Wherein EN is the power frequency electromagnetic field intensity of the transformer substation, EZ is the power frequency electromagnetic field intensity threshold value of the transformer substation, n is the number of transformers, En1Is the power frequency electromagnetic field intensity of the transformer,
Figure 628361DEST_PATH_IMAGE004
j =1,2, … …, m, m is the number of the power frequency electromagnetic field strength of the jth power transmission line,
Figure 389512DEST_PATH_IMAGE005
the power frequency electromagnetic field strength of the power transmission line is a unit length;
wherein the noise amount constraint conditions include: NN (neural network)<NZ, NN=
Figure 460718DEST_PATH_IMAGE006
Wherein NN is the noise intensity of the transformer substation, NZ is the noise intensity threshold of the transformer substation, n is the number of transformers,
Figure 143372DEST_PATH_IMAGE007
i =1,2, … …, n, which is the average noise of the transformer.
Wherein, the noise affects the condition of the radius constraint and comprises: rmax <RY,Rmax=max(R1,R2,…Rn) Where Rn is the noise radius of the nth transformer, RYIs a threshold for noise affecting the radius.
In another possible implementation manner of the embodiment of the present application, the apparatus 20 further includes: an obtaining module, a third determining module and an adjusting module, wherein,
the acquisition module is used for acquiring the map information of the surrounding environment of the transformer substation to be built;
the third determining module is used for determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area based on the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built, wherein the layout of the transformer substation to be built is drawn based on the transformer information and the power transmission line information of the transformer substation to be built;
and the adjusting module is used for adjusting the layout of the transformer substation to be built based on the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise of the residential area.
Specifically, the third determining module is specifically configured to, when determining the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise respectively corresponding to each residential area based on the surrounding environment map information of the substation to be built and the layout diagram of the substation to be built:
and determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area through the network model according to the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built.
Specifically, the third determining module is specifically configured to, when determining, through the network model, the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise that correspond respectively to each residential area, the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built:
performing feature extraction on a surrounding environment map of the transformer substation to be built to obtain first feature information, wherein the first feature information is used for representing topographic information, resident concentration information and building information corresponding to each position around the transformer substation to be built;
performing feature extraction on the layout drawing of the transformer substation to be built to obtain second feature information, wherein the second feature information is used for representing the equipment type, the setting position information and the line layout information corresponding to each equipment in the transformer substation to be built;
performing feature fusion processing on the first feature information and the second feature information according to the position information to obtain feature information after fusion processing;
and determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area based on the feature information after the fusion processing.
Specifically, the network model includes: a first header network, a second header network, and a third header network, wherein,
the third determining module is used for specifically determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise corresponding to each residential area based on the feature information after the fusion processing:
determining the maximum power frequency electric field corresponding to each residential area through the first head network based on the feature information after the fusion processing;
determining the maximum power frequency magnetic field corresponding to each residential area through a second head network based on the feature information after fusion processing;
and determining the maximum noise corresponding to each residential area through the third head network based on the feature information after the fusion processing.
Specifically, the third determining module is specifically configured to, when determining the maximum power frequency electric field corresponding to any one residential area through the first head network based on the feature information after the fusion processing:
predicting the power frequency electric field intensity attenuation corresponding to each sheltered area between any residential area and the transformer substation to be built respectively based on the feature information after fusion processing;
and determining the maximum power frequency electric field intensity corresponding to any residential area based on the predicted power frequency electric field intensity attenuation.
Specifically, the third determining module is specifically configured to, when determining the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise respectively corresponding to each residential area based on the feature information after the fusion processing:
determining relative position information of each transformer substation in each residential area based on the feature information after fusion processing, wherein the relative position information comprises distance information and direction information;
determining topographic information and building information between each residential area and each transformer substation based on relative position information of each residential area and each transformer substation;
respectively determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area through topographic information and building information between each residential area and the transformer substation and the following formulas;
wherein, formula 1 is E1max = E1-E
Figure 187420DEST_PATH_IMAGE008
Formula 2 is E2max = E2-E
Figure 55275DEST_PATH_IMAGE009
Formula 3 is E3max = E3-E
Figure 242191DEST_PATH_IMAGE010
Wherein E1max is the maximum power frequency electric field intensity corresponding to any residential area, E1 is the power frequency electric field intensity corresponding to the transformer substation to be built,
Figure 349824DEST_PATH_IMAGE011
the attenuation coefficient of the power frequency electric field intensity corresponding to the kth shielding area;
Figure 869667DEST_PATH_IMAGE012
the occlusion distance corresponding to the k-th occlusion region;
wherein E2max is the maximum power frequency magnetic field intensity corresponding to any residential area, E2 is the power frequency magnetic field intensity corresponding to the transformer substation to be built,
Figure 667728DEST_PATH_IMAGE013
the power frequency magnetic field intensity attenuation coefficient corresponding to the kth shielding area;
wherein E3max is the maximum noise intensity corresponding to any residential area, E3 is the noise intensity corresponding to the transformer substation to be built,
Figure 289858DEST_PATH_IMAGE014
and the attenuation coefficient is the noise intensity attenuation coefficient corresponding to the k-th occlusion region.
The embodiment of the application provides a transformer substation planning device based on environmental factors, compared with the related art, after the position information of a transformer substation to be built is determined, a transformer substation MILP model is created based on the position information of the transformer substation to be built, the transformer information and the power transmission line information of the transformer substation to be built are determined based on the model when at least one of power frequency electromagnetic field influence radius constraint, power frequency electromagnetic field strength constraint, noise quantity constraint and noise influence radius constraint is met, the transformer substation to be built can meet the power supply radius and the load requirement, namely the transformer substation can be planned under the condition that the power supply radius and the load requirement are met when the transformer substation is planned and built, the planned transformer substation can meet at least one of the power frequency electromagnetic field influence radius constraint, the power frequency electromagnetic field strength constraint, the noise quantity constraint and the noise influence radius constraint, therefore, the planning and construction of the transformer substation project can be realized while the surrounding environment and the life of residents are considered.
Further, in this embodiment of the present application, the first determining module 21, the second determining module 23, and the third determining module may be the same determining module, may also be different determining modules, or may be partially the same determining module, which is not limited in this embodiment of the present application.
The transformer substation planning device based on the environmental factors provided by the embodiment of the application is applicable to the method embodiment, and is not described herein again.
In an embodiment of the present application, an electronic device is provided, as shown in fig. 3, where the electronic device 300 shown in fig. 3 includes: a processor 301 and a memory 303. Wherein processor 301 is coupled to memory 303, such as via bus 302. Optionally, the electronic device 300 may further include a transceiver 304. It should be noted that the transceiver 304 is not limited to one in practical applications, and the structure of the electronic device 300 is not limited to the embodiment of the present application.
The Processor 301 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or execute the various illustrative logical blocks, modules, and circuits described in connection with the disclosure herein. The processor 301 may also be a combination of computing functions, e.g., comprising one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
Bus 302 may include a path that carries information between the aforementioned components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus 302 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 3, but that does not indicate only one bus or one type of bus.
The Memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 303 is used for storing application program codes for executing the scheme of the application, and the processor 301 controls the execution. The processor 301 is configured to execute application program code stored in the memory 303 to implement the aspects illustrated in the foregoing method embodiments.
Wherein, the electronic device includes but is not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. But also a server, etc. The electronic device shown in fig. 3 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments. Compared with the prior art, the method and the device for establishing the MILP model of the transformer substation establish the MILP model of the transformer substation based on the position information of the transformer substation to be established after the position information of the transformer substation to be established is determined, and based on at least one of the constraint of power frequency electromagnetic field influence radius, the constraint of power frequency electromagnetic field strength, the constraint of noise quantity and the constraint of noise influence radius, determining the transformer information and the transmission line information of the transformer substation to be built, and the transformer substation to be built can meet the requirements of power supply radius and load, namely the transformer substation can be planned under the condition of meeting the requirements of the power supply radius and the load when the transformer substation is planned and built, and the planned transformer substation can meet at least one of power frequency electromagnetic field influence radius constraint, power frequency electromagnetic field strength constraint, noise amount constraint and noise influence radius constraint, therefore, the planning and construction of the transformer substation project can be realized while the surrounding environment and the life of residents are considered.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the above division of each functional module is only used for illustration, and in practical applications, the above function distribution may be performed by different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
In the embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and there may be other divisions when actually implemented, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, which are essential or contributing to the prior art, or all or part of the technical solutions may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: u disk, removable hard disk, read only memory, random access memory, magnetic or optical disk, etc. for storing program codes.
The above embodiments are only used to describe the technical solutions of the present application in detail, but the above embodiments are only used to help understanding the method and the core idea of the present application, and should not be construed as limiting the present application. Those skilled in the art should also appreciate that various modifications and substitutions can be made without departing from the scope of the present disclosure.

Claims (10)

1. A transformer substation planning method based on environmental factors is characterized by comprising the following steps:
determining position information of a transformer substation to be built;
establishing a substation mixed integer linear programming MILP model based on the position information of the substation to be built;
determining transformer information and transmission line information of a transformer substation to be built based on the MILP model so as to build the transformer substation;
the MILP model comprises an objective function and a condition of substation building simulation constraint, wherein the objective function is determined based on the substation power supply radius and load information; the condition of the substation building simulation constraint is determined based on the position information of the substation to be built;
the conditions for building the simulation constraints by the substation comprise: at least one of power frequency electromagnetic field influence radius constraint, power frequency electromagnetic field strength constraint, noise amount constraint and noise influence radius constraint;
the transformer information of the transformer substation to be built comprises: at least one of position information of the transformer and quantity information of the transformer to be built; the transmission line information includes: and (5) power transmission line layout information.
2. The method of claim 1,
the objective function includes: s = a × S1+ B × S2;
wherein, S1=
Figure 33424DEST_PATH_IMAGE001
Wherein, BifI =1,2, … …, n, n is the number of transformers, which is the maximum load capacity of the ith transformer;
S2=
Figure 790028DEST_PATH_IMAGE002
wherein fi is the load capacity of the ith transformer, i =1,2, … …, n, n is the number of transformers, and δ is the load density of the power supply area;
a and B are parameters;
wherein, the condition constraint condition of the power frequency electromagnetic field influence radius constraint comprises:
R∈O(OMrmax), wherein R = (R1 ═ R2 ═ R3 … ═ Rn), OMThe method is used for representing the position of the transformer substation to be built, and Rmax is used for representing the maximum value of the power frequency electromagnetic field influence radius of the transformer substation;
wherein R1 and R2 … Rn are respectively used for representing the power frequency electromagnetic field influence area of the transformer; rn = O (On, Rn), wherein On is used for representing the position information of the nth transformer, and Rn is used for representing the influence radius of the power frequency electromagnetic field corresponding to the nth transformer;
wherein, the condition of power frequency electromagnetic field intensity constraint includes: EN < EZ;
wherein EN = n En1+
Figure 503906DEST_PATH_IMAGE003
Wherein EN is the power frequency electromagnetic field intensity of the transformer substation, EZ is the power frequency electromagnetic field intensity threshold value of the transformer substation, n is the number of transformers, En1Is the power frequency electromagnetic field intensity of the transformer,
Figure 877118DEST_PATH_IMAGE004
j =1,2, … …, m is the power frequency electromagnetic field strength of the jth power transmission line, m is the number of the power transmission lines,
Figure 334645DEST_PATH_IMAGE005
the power frequency electromagnetic field strength of the transmission line is a unit length;
wherein the noise amount constraint conditions include: NN (neural network)<NZ, wherein NN =
Figure 945754DEST_PATH_IMAGE006
Wherein NN is the noise intensity of the transformer substation, NZ is the noise intensity threshold of the transformer substation, i =1,2, … …, n, n is the number of transformers,
Figure 299375DEST_PATH_IMAGE007
average noise of the transformer;
wherein, the noise influences the conditions of the radius constraint, including: r ismax <RY,Rmax=max(R1,R2,…Rn) Where Rn is the noise radius of the nth transformer, RYIs a threshold for noise affecting the radius.
3. The method of claim 1, further comprising:
acquiring surrounding environment map information of the transformer substation to be built;
determining a maximum power frequency electric field, a maximum power frequency magnetic field and a maximum noise respectively corresponding to each residential area based on the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built, wherein the layout of the transformer substation to be built is drawn based on the transformer information and the transmission line information of the transformer substation to be built;
and adjusting the layout of the transformer substation to be built based on the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise of the residential area.
4. The method according to claim 3, wherein the determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area based on the surrounding environment map information of the transformer substation to be built and the layout of the transformer substation to be built comprises:
extracting features of the map information of the surrounding environment of the transformer substation to be built to obtain first feature information, wherein the first feature information is used for representing topographic information, resident concentration information and building information which respectively correspond to each position around the transformer substation to be built;
performing feature extraction on the layout drawing of the transformer substation to be built to obtain second feature information, wherein the second feature information is used for representing equipment types, setting position information and circuit layout information corresponding to each equipment in the transformer substation to be built;
performing feature fusion processing on the first feature information and the second feature information according to position information to obtain feature information after fusion processing;
and determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area through a network model based on the feature information after the fusion processing.
5. The method of claim 4, wherein the network model comprises: a first header network, a second header network, and a third header network, wherein,
the determining, based on the feature information after the fusion processing, the maximum power frequency electric field, the maximum power frequency magnetic field, and the maximum noise respectively corresponding to each residential area through a network model includes:
determining the maximum power frequency electric field corresponding to each residential area through a first head network based on the feature information after the fusion processing;
determining the maximum power frequency magnetic field corresponding to each residential area through a second head network based on the feature information after the fusion processing;
and determining the maximum noise corresponding to each residential area through a third head network based on the feature information after the fusion processing.
6. The method according to claim 5, wherein the determining the maximum power frequency electric field corresponding to any residential area through the first head network based on the feature information after the fusion processing comprises:
predicting the predicted power frequency electric field intensity attenuation corresponding to each sheltered area between any one residential area and the transformer substation to be built respectively based on the feature information after fusion processing;
and determining the maximum power frequency electric field intensity corresponding to any residential area based on the predicted power frequency electric field intensity attenuation.
7. The method according to claim 4 or 5, wherein the determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise respectively corresponding to each residential area based on the feature information after the fusion processing comprises:
determining relative position information of each residential area and the transformer substation respectively based on the feature information after the fusion processing, wherein the relative position information comprises distance information and direction information;
determining topographic information and building information between each residential area and the transformer substation based on the relative position information of each residential area and the transformer substation;
respectively determining the maximum power frequency electric field, the maximum power frequency magnetic field and the maximum noise which respectively correspond to each residential area through topographic information and building information between each residential area and the transformer substation and the following formulas;
wherein, the formula 1 is E1max = E1-E
Figure 445971DEST_PATH_IMAGE008
Formula 2 is E2max = E2-E
Figure 644871DEST_PATH_IMAGE009
Formula 3 is E3max = E3-E
Figure 376067DEST_PATH_IMAGE010
Wherein E1max is the maximum power frequency electric field intensity corresponding to any residential area, E1 is the power frequency electric field intensity corresponding to the transformer substation to be built,
Figure 697327DEST_PATH_IMAGE011
the attenuation coefficient of the power frequency electric field intensity corresponding to the kth shielding area;
Figure 779552DEST_PATH_IMAGE012
the occlusion distance corresponding to the kth occlusion region;
wherein E2max is the maximum power frequency magnetic field intensity corresponding to any residential area, E2 is the power frequency magnetic field intensity corresponding to the transformer substation to be built,
Figure 110039DEST_PATH_IMAGE013
the attenuation coefficient of the power frequency magnetic field intensity corresponding to the kth shielding area;
wherein E3max is the maximum noise intensity corresponding to any residential area, E3 is the noise intensity corresponding to the substation to be built,
Figure 695742DEST_PATH_IMAGE014
and the attenuation coefficient of the noise intensity corresponding to the k-th occlusion area.
8. A transformer substation planning device based on environmental factors is characterized by comprising:
the first determining module is used for determining the position information of the transformer substation to be built;
the building module is used for building a mixed integer linear programming MILP model of the transformer substation based on the position information of the transformer substation to be built;
the second determination module is used for determining transformer information and transmission line information of the transformer substation to be built based on the MILP model so as to build the transformer substation;
the MILP model comprises an objective function and a condition of substation building simulation constraint, wherein the objective function is determined based on the substation power supply radius and load information; the condition of the substation building simulation constraint is determined based on the position information of the substation to be built;
the conditions for building the simulation constraints by the substation comprise: at least one of power frequency electromagnetic field influence radius constraint, power frequency electromagnetic field strength constraint, noise quantity constraint and noise influence radius constraint;
the transformer information of the transformer substation to be built comprises: at least one of position information of the transformer and quantity information of the transformer to be built; the transmission line information includes: and (5) power transmission line layout information.
9. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: -executing the method of environmental factor based substation planning according to any of the claims 1 to 7.
10. A computer readable storage medium, characterized in that the storage medium stores at least one instruction, at least one program, a set of codes, or a set of instructions that is loaded and executed by a processor to implement the method of environmental factor based substation planning according to any of claims 1 to 7.
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